Bhumjai graduated with a bachelor’s degree in Computer Engineering (Second-Class Honors) from the Faculty of Engineering, Chulalongkorn University, and a master’s degree in Quantitative Economics from the Faculty of Economics, Chulalongkorn University. His master’s thesis focused on effects of reducing a corporate income tax on investment of listed companies.
At present, he is a Senior Economist in the Economic Forecast Team, Macroeconomic Department, Bank of Thailand. Over more than 10 years at the central bank, he has accumulated broad experience in a wide range of areas, including:
Specializes in the management and analysis of large-scale micro-level data, particularly credit-related data, and contributes as part of PIER’s team members who pioneered the use of big data for research.
Experience as a member of the secretariat to the Monetary Policy Committee (MPC), contributing to the preparation of monetary policy recommendations and economic forecasts based on economic indicators and macroeconomic models to support monetary policy decisions.
Experience in advancing the New Financial Landscape, with a focus on developing digital financial infrastructure to facilitate the financial sector’s transition into the digital era, including:
Development of Open Data initiatives (dStatement use case) to facilitate the consent-based sharing of users’ personal data, along with the establishment of common technical standards for data exchange.
Development of a centralized Credit Risk Database (CRD), based on Japan’s case study, and its subsequent extension into Credit Scoring Models.
Experience in applying Open Data and Credit Risk Database (CRD) concepts to support SME and retail debtor, through the design of a data-sharing ecosystem aimed at reducing information asymmetry and improving the efficiency of credit risk assessment, thereby supporting the development of the General Credit Guarantee Facility (GCGF), which underpins the establishment of the National Credit Guarantee Agency (NaCGA).
Reviewed and provided assessments for Digital P-Loan licensing applications, with a focus on the use of alternative data in the development of applicants’ credit scoring models.
Experience in initiating the first pilot Climate Stress Test in Thailand’s financial sector, encompassing the design of climate scenario frameworks and impact assessments for both physical and transition risks, in technical collaboration with the World Bank, adopting a CGE model (MANAGE-WB) for analysis.
